Atlas Vector Search ancora una volta votato il database vettoriale più amato

MongoDB Atlas Vector Search has been named the most loved vector database for the second consecutive year in the 2024 Retool State of AI report. The report highlights the growing adoption of retrieval-augmented generation (RAG) as a preferred approach to generate more accurate responses with updated and relevant context, which large language models (LLMs) are not trained on. MongoDB Atlas Vector Search allows users to easily utilize their stored data to significantly improve the performance of generative AI applications during both training and evaluation phases. The use of vector databases among surveyed developers has increased from 20% in 2023 to 63.6% in 2024, with key evaluation criteria being performance benchmarks, community feedback, and proof-of-concept experiments.